CoANE: Modeling Context Co-occurrence for Attributed Network Embedding

  title={CoANE: Modeling Context Co-occurrence for Attributed Network Embedding},
  author={I-Chung Hsieh and Cheng-Te Li},
Attributed network embedding (ANE) is to learn low-dimensional vectors so that not only the network structure but also node attributes can be preserved in the embedding space. Existing ANE models do not consider the specific combination between graph structure and attributes. While each node has its structural characteristics, such as highly-interconnected neighbors along with their certain patterns of attribute distribution, each node’s neighborhood should be not only depicted by multi-hop… Expand

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